Deep Learning Technology in Film and Television Post-Production

Abstract

China”s economic growth is developing rapidly, whether it is hard power or soft power, movies are often leaders in cultural output, and their production technology and film content need to be evaluated at different levels. How to grasp film and television in the new era Technical post-production technology has become more and more important. China's film and television production has not yet formed a mature industrialization system. There are no standard operating specifications and specific standards for film and television production, which leads to confusion in the application mode of film and television production and the film and television production system. The imperfect level of the film and television production industry has led to poor animation preview effects and quality. This article mainly analyzes the application of deep learning technology in film and television post-production, and uses deep learning technology to make a reasonable analysis of the current development of film and television post-production technology. The experimental results in this paper show that the application of deep learning technology in film and television post-production has increased the processing efficiency of film and television by 15%, and the film and television post-production technology combined with deep learning methods. The combination of the two features has better abstract expression capabilities, and can better learn to reflect the nature of data. More importantly, deep learning methods are more suitable for the fast-developing big data era we are now in. The amount of data is increasing. In the case of, traditional algorithms are difficult to take advantage of the amount of data, and the algorithm model of deep learning is a method that has grown and developed under this background. It can process rich data and has better generalization capabilities to adapt to More extensive scenes, better practicability. Responsible for the development and optimization of film and television post-production to the greatest extent.